20 results for “PhD students”
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This paper investigates how PhD students in software engineering perceive and navigate science communication, revealing motivations, communication channels, and barriers.
This paper assesses HPC education at 102 academic institutions in Germany, identifying 178 HPC-related courses and evaluating their competency coverage and curricular placement, as well as examining l…
This paper proposes a Genetic Algorithm with constraint repair mechanism for optimally allocating educational resources to high school mathematics students under study time constraints.
The paper argues that over-engineered university cybersecurity protocols, while necessary, create significant accessibility barriers that disproportionately harm remote international students, particu…
This paper analyzes the shift in student adoption and accountability practices of GenAI tools in a graduate-level HCI prototyping course across three cohorts using GitHub data.
This paper investigates the correlation between gender diversity and the scientific impact of papers in Natural Language Processing (NLP) and Library and Information Science (LIS) domains.
This study surveyed higher education practitioners to map their beliefs and behaviors regarding AI integration, finding that while they view AI favorably, institutional barriers and gaps in design-ori…
The paper proposes a comprehensive benchmark to systematically audit how varying persona prompts and model choices affect the technical quality and social representativeness of scholar recommendations…
This paper operationalizes knowledge-based design requirements in a generative social robot tutoring system called Teachy Mini, and evaluates its effectiveness in higher education.
The paper introduces EduMPI, a learning support tool for simplifying cluster usage and performance analysis of MPI parallel programs for students.
Seth Bernstein, Paul Denny, Juho Leinonen, Kush Patel +3 more
This paper explores the effectiveness of diverse LLM-generated explanations versus generic explanations in computer science education, finding that diverse explanations led to higher open-ended respon…
Authors of 44 meta-analyses preferred a single pass by a frontier model over two multi-agent debate tools for improving their papers, despite the tools spending roughly thirty times the tokens.
This paper presents a large-scale analysis of AI-based learning assistant (Syntea) usage in higher education using log data from 77,543 students.
This paper analyzes the use of generative AI for feedback in higher education based on 2988 instances from Estonian bachelor students, finding that students generally find it helpful but not a self-co…
This paper investigates how AI affects human creativity and diversity in a language experiment with English writers.
Zihan Guo, Zeyi Chen, Zhiyu Chen, Zicai Cui +14 more
This paper presents Clarus, a collaboration infrastructure for coordinating autonomous research agents towards web-scale scientific collaboration.
This paper identifies eight competencies required for researchers and graduate students to use Large Language Models critically and responsibly, based on a review of 40 articles.
This paper proposes Evolutionary Intelligence (EI) for scientific discovery, which links candidate refinement with experience retention across evolutionary cycles.
This paper proposes an HPC-aware methodology for Knowledge Distillation (KD) that decouples teacher and student partitioning efficiently, achieving up to 67% higher samples-per-second than the widely…